519 results about "Building industry" patented technology

The invention relates to the technical field of building management, and discloses a building green construction whole process management method and system based on a BIM technology, and the method comprises the following steps: data collection and integration: collecting multi-dimensional data of energy consumption, environment and equipment state of a building construction site through an arranged Internet of Things sensor network, data preprocessing and transmission are carried out through edge calculation; identification management is carried out on the building materials and equipment through RFID or two-dimensional codes; energy efficiency analysis and evaluation: performing real-time analysis on the energy efficiency and carbon emission of each construction link based on the collected data, and displaying the distribution condition of the energy efficiency and the carbon emission through a BIM model; and intelligent decision support and optimization: utilizing a machine learning algorithm to predict energy consumption and material consumption. Efficient resource allocation is realized through real-time monitoring and intelligent optimization; meanwhile, based on the BIM model and seamless data sharing in the operation and maintenance stage, the system realizes green management of the whole life cycle of the building, and supports sustainable development of the building industry.

The invention discloses a low-carbon building monitoring system and method based on digital twinning, and relates to the technical field of digital twinning, the system comprises a data acquisition unit, a computing power cooperation unit, a regulation and control execution unit and a user interaction unit, the data acquisition unit carries out regional targeted timing monitoring, builds a unified semantic standard and a dynamic knowledge graph, and sends the unified semantic standard and dynamic knowledge graph to the user interaction unit; the comprehensiveness and efficiency of data association analysis are improved; a three-level computing power collaboration system is constructed through the computing power collaboration unit, building monitoring information is integrated, complex simulation of a digital twin module is carried out, an energy transmission path and equipment fault risks are accurately tracked, prediction optimization and long-term regulation and control management are carried out, and the construction efficiency is improved. Therefore, a full-life-cycle integrated management framework in a macroscopic geographical environment, a mesoscopic energy link and microscopic equipment of a building cluster is built, cross-domain collaborative analysis is realized, the real-time requirement is met, multi-target optimization design for balancing energy cost, energy efficiency and comfort is realized, and carbon neutralization targets in the building industry are assisted to fall into the ground.

The present invention provides a method for automatic transformation from a building 3ds Max geometric model to a Revit information model. On the basis of 3ds Max and Revit software platforms, by making use of secondary development of Maxscript and Revit API, and by means of component type identification, component parameter classification, geometric information extraction, and parameter automatic modeling algorithms, a method for automatic transformation from a building 3ds Max geometric model to a Revit information model is provided, so as to achieve automatic transformation from a three-dimensional geometric model to an information management model, reduce repeated modeling work for a same building under different functional applications, perfect effective transformation methods for two types of models in current building industry, and lay a foundation for universality and expandability of a building three-dimensional model.

The invention discloses a building industry human resource management system based on a block chain technology, and aims to solve the problems that a current building industry human resource management system is slow in processing speed and difficult to meet flexible employment and rapid recruitment requirements of the building industry, so that transaction processing is delayed, sensitive information of employees may be leaked, a decentralized architecture needs multi-party coordination, and the efficiency is high. The system comprises a block chain module which is used for data storage, security and automatic execution of a consensus mechanism; and the business management module is used for carrying out precise management on complex scenes in the building industry through characteristics of decentralization, non-tampering and the like. According to the method, a decentralized distributed architecture is adopted, the data is stored on a plurality of nodes, the security of the data is ensured, each piece of data is recorded on the block chain and cannot be tampered by any person, the authenticity and integrity of the data are ensured, intermediate links can be reduced, and the management cost and risk are reduced.

The invention relates to the technical field of building control, in particular to a BIM-based building energy consumption and carbon emission dual control system, which comprises a building element carbon emission analysis module, a building operation strategy optimization module, a building environment adjustment response module and a building performance continuous monitoring module. According to the invention, through real-time tracking and dynamic management, structural information of a building is deeply analyzed by using a BIM technology, design and material use are accurately evaluated, energy consumption and carbon emission prediction are optimized, an internal equipment operation strategy is dynamically adjusted, the energy use efficiency is improved, indoor environment parameters are adjusted, energy consumption is reduced, and through continuous monitoring and strategy updating, the energy utilization efficiency is improved. The optimal performance of the building is maintained in various environments, energy waste is reduced, the cost efficiency is optimized, and the refined control not only improves the operation flexibility of the building, reduces the maintenance cost, but also enhances the living and working environment quality, and supports the sustainable development and environmental protection goal of the building industry.

The invention relates to the technical field of building industry carbon emission prediction, in particular to a building industry carbon emission prediction method and system based on a random forest algorithm, and the method comprises the steps: obtaining building industry carbon emission historical data; based on a random forest regression model, carrying out influence factor importance degree sorting on historical data of carbon emission in the building industry, extracting a characteristic data set of carbon emission correlation, and dividing the characteristic data set into a training set and a test set; inputting the training set into a preset LSTM model for calculation, evaluating an LSTM prediction result through the test set, and outputting the trained LSTM model; and combining the random forest regression model with the completely trained LSTM model, and completing carbon emission prediction of the existing building through the combined model. The invention aims to improve the accuracy and reliability of building industry carbon emission prediction.

The invention relates to the technical field of computer application, in particular to an industry document generation method based on a large language model and retrieval enhancement, which comprises the following steps: acquiring a first user demand of a building engineering project to be input, performing data preprocessing on the first user demand, and acquiring the preprocessed first user demand; performing semantic alignment on the preprocessed first user demand by adopting a cross-modal embedding model to generate a multi-modal fusion vector; according to a dynamic semantic slicing strategy, performing slice segmentation on the multi-modal fusion vector, and obtaining a plurality of slice units containing complete semantics as segmented multi-modal fusion vectors; inputting the segmented multi-modal fusion vector into a pre-trained special retrieval enhancement large model for the building industry, and generating an industry document which conforms to a building engineering specification and a first user demand; according to the method, the problems that the generated building related document content in the building industry is low in professionality and accuracy and cannot meet the industry requirements are solved.

The invention discloses a building decoration carbon emission optimization decision support system. The data acquisition unit acquires real-time data through the multi-source sensing device, and the data preprocessing unit performs abnormal value filtering, format unification and standardization operation on the real-time data. And the decision optimization unit integrates an intelligent dynamic strategy adjustment mechanism and a time sequence prediction model, and generates an optimization scheme through efficiency comparison incremental learning and feedback correction. And the visual output unit converts the scheme into a graphical display interface. In addition, the system is provided with a performance evaluation unit, the carbon emission reduction rate can be counted, the decision accuracy can be analyzed, the comprehensive efficiency score can be generated, and the data acquisition frequency and algorithm parameters can be dynamically adjusted. The system provides comprehensive support for carbon emission optimization of building decoration and assists green development of the building industry.

The invention provides an unfired lightweight aggregate with high lithium slag doping amount and a method for synergistically preparing the unfired lightweight aggregate from lepidolite slag and lepidolite slag. The unfired lightweight aggregate with high lithium slag doping amount is prepared from the following raw materials: lithium slag and a functional additive, the lithium slag material comprises lepidolite slag and spodumene slag; the functional additive comprises a binder, an exciting agent and a mineralizing agent. Through cooperation of the lepidolite slag and the spodumene slag, the dry basis doping amount of the lithium slag in the unfired lightweight aggregate is increased to 80% or above, the cement doping amount is reduced to 15% or below, introduction of active components such as fly ash is not needed, the cement doping amount is low, the curing time is short, and high-doping-amount resource utilization of the lithium slag is achieved; the unfired lightweight aggregate has relatively high cylinder compressive strength and relatively low water absorption rate and bulk density, and meanwhile, efficient solidification of beryllium element is effectively realized in combination with a mineralizing agent; the material has excellent comprehensive performance and can be widely applied to the fields of building industry and the like.

The invention relates to the technical field of intelligent construction, and particularly discloses a construction scheme generation method and system fusing a large language model and a knowledge graph, and the method comprises key links such as intelligent directory generation, intelligent content generation and deep content quality analysis, achieves the intelligent generation of a building engineering construction scheme, and improves the construction efficiency. The technical blank in the field is effectively filled, the automation and intelligence process of the building industry is promoted, the advanced large language model technology and the knowledge graph technology are combined, a whole set of technical framework and intelligent processing system are constructed, the time and energy required in the manual compiling process are remarkably saved, the working efficiency is improved, and the construction cost is reduced. The project engineering information and the building standard specification are organically combined by utilizing the knowledge graph technology, so that the professionality and the standardization of intelligent generation of the construction scheme are ensured, and the accuracy and the reliability of the construction scheme are greatly improved.

The invention discloses a big data system based on building industry multi-data source project information unification, and relates to the technical field of big data systems. The system comprises a data acquisition layer which is directly connected with an external data source and is responsible for acquiring data and providing original materials for subsequent processing; the data preprocessing and cleaning layer is used for receiving data input of the data acquisition layer and carrying out primary processing on original data; the data storage layer is used for receiving the data of the data preprocessing and cleaning layer, storing the cleaned data, providing a basis for data analysis and supporting the storage requirement of large-scale data; the data processing layer is used for directly reading the data of the data storage layer and deeply analyzing the stored data; the big data system provided by the invention solves the problem of project information management in the building industry through improvements in the aspects of data unified management, data integrated analysis, decision-making efficiency improvement, data security guarantee and the like, and brings better effects and positive influences.

The invention discloses an industrial building business service management method and device and a medium, and belongs to the technical field of building service management, and the method specifically comprises the steps: constructing a multi-dimensional data fusion model; defining cost, progress, quality and security dimension data ranges and acquisition nodes, and storing the data ranges and the acquisition nodes in a model database after standardization; based on the standardized data of the multi-dimensional data fusion model, analyzing a dimension internal relationship by using an association rule mining algorithm, defining a dimension mapping relationship, and integrating to form an association rule base; establishing a multi-dimensional linkage analysis module; the module is established by taking a model database as a data source and a multi-dimensional data association rule base as a logic support, and a threshold triggering mechanism and a cross-link data calling function are set; constructing a business collaborative decision support module; business requirements of multiple departments are integrated; a multi-dimensional data visualization monitoring platform is built; and designing a linkage trend chart based on a result of the multi-dimensional linkage analysis module.

Disclosed in the present invention are an engineering design preamble information generation method, an information display method and a drawing examination method. In the information display method, an information display plug-in that is pre-loaded in engineering design software is called to display preamble information related to the current drawing file and intelligent information related to a target object, such that a system can automatically display related intelligent information along with a design action during the process of a user designing the drawing file, thereby implementing follow-up information display; and the user is reminded of related design specifications at any time, thereby omitting the workload caused by a designer manually searching for the intelligent information, further solving the problem of various quality incidents occurring frequently due to incomplete searching, incorrect searching, etc., caused by the designer manually searching for the intelligent information, significantly improving the design research and development efficiency, and having positive economic benefits and social benefits for automatic design and subsequent automatic production in the manufacturing industry, the building industry and the engineering industry.

According to the construction scheme multi-modal retrieval enhancement generation method and system based on the large model, intelligent scheme writing support is provided for constructors through a natural language processing technology by means of mass building industry data and knowledge, and the construction efficiency is improved. Comprising but not limited to the steps of assisting constructors in compiling a construction scheme, providing real-time answers to problems possibly encountered in the construction process, providing optimization suggestions according to project characteristics and the like; through the application of the large model, the working efficiency of constructors can be greatly improved, the waste of human resources is reduced, and the accuracy and feasibility of a construction scheme are ensured. Besides, the model can be continuously learned and updated, and the ability of assisting in compiling question answering is continuously optimized along with the accumulation of project experience, so that the model is more widely applied to each link in the building industry in the future.

The invention relates to an intelligent identification and import method for a building industry communication project contract scanning copy. The method comprises the steps of obtaining a target template and a to-be-processed contract scanning copy, preprocessing the contract scanning copy, performing structured analysis on the target template, extracting a field standard value, marking a field type, and generating a field type mapping table; inputting the preprocessed contract scanning copy into a multi-modal feature analysis model to obtain a contract information extraction set; performing semantic matching on the contract information extraction set and a field type mapping table to generate a field matching result, and inputting successfully matched contract information into a target template; and if the necessary fields are missing, retrieving associated historical information from the dynamic knowledge base through an entity identification and link technology, obtaining contract information of missing field mapping, and inputting the contract information of missing field mapping into the target template. According to the invention, the recognition accuracy is improved, and the labor cost is reduced.

The invention provides a building industry finance and tax compliance digital evidence chain integrated platform which is deployed based on a cloud computing architecture and comprises a distributed server cluster, a network communication module and a database storage system. By constructing the integrated digital platform, fundamental efficiency improvement and risk management and control reinforcement of finance and taxation management in the building industry are realized, the platform enables a data acquisition process to be highly automatic, manual repeated entry work is greatly eliminated, financial personnel are liberated from tedious account checking, and the financial personnel are greatly improved. The compliance check module based on a rule engine and artificial intelligence can perform real-time and comprehensive automatic analysis on all transaction data, significantly improves the identification accuracy and timeliness of potential compliance risks, realizes instant alarm, converts passive risk response into active risk response, and improves the risk handling efficiency. Compared with a traditional manual mode, the data processing speed is improved in order of magnitude, the monthly checkout and report generation time is greatly shortened, the enterprise decision cycle is remarkably accelerated, and the overall operation efficiency is improved.

The invention relates to the technical field of noise reduction core materials, in particular to a mesoporous ceramic / chlorinated polypropylene carbonate sound insulation foam core material and a preparation method thereof, and the mesoporous ceramic / chlorinated polypropylene carbonate sound insulation foam core material is prepared from the following raw materials in parts by mass: 3-20 parts of mesoporous ceramic, 75.6-92.6 parts of chlorinated polypropylene carbonate, 4 parts of azodicarbonamide and 0.4 part of zinc oxide. The mesoporous ceramic / chlorinated polypropylene carbonate foam material has the advantages of being low in density, high in strength, excellent in sound insulation performance, environmentally friendly and the like, the transmission loss at the intermediate frequency of 1000-2000 Hz can reach 34-60 dB, the compression modulus can reach 10.6-26.8 MPa, the compression strength can reach 0.24-0.45 MPa, and the mesoporous ceramic / chlorinated polypropylene carbonate foam material can serve as a sound insulation foam core material to be filled in a building wall and has the advantages of being good in sound insulation performance and the like. Good application prospects are realized in the fields of wall earthquake prevention and sound insulation in the building industry.

The invention belongs to the technical field of building construction, and particularly discloses a building performance multi-objective optimization method and equipment based on an intelligent algorithm. Comprising the steps of performing parametric simulation on building performance to obtain a sample data set; constructing a BO-CatBoost prediction model, predicting the building lighting performance, the building energy consumption, the building thermal comfort and the building carbon emission by adopting the BO-CatBoost prediction model, and establishing a nonlinear mapping relationship between each influence factor and the building energy consumption, the carbon emission, the lighting and the thermal comfort; and constructing a multi-target prediction function by taking different climate zone variables as constraint conditions. According to the method, efficient collaborative optimization of performance in multiple aspects of energy consumption, carbon emission, lighting, thermal comfort and the like of the building is realized, so that the building can effectively adapt to different climate zone environments while meeting multi-target performance requirements, and an efficient, universal and widely applicable optimization strategy is provided for sustainable development of the building industry.

The invention provides a building material retrieval method, which comprises the following steps of: acquiring a building material retrieval request described by a natural language of a user, performing deep semantic analysis by using a large language model to extract key information such as names, specifications, performances, scenes and the like, and generating a keyword set; performing synonym, hypernym, hypernym, industry term and associated word expansion on the keywords based on material attributes and semantic correlation to form an expanded keyword set; comprehensively retrieving multi-dimensional attributes such as names, specifications, performance, manufacturers, prices and the like in the building material database to obtain preliminary results; and performing weighted scoring and sorting by using multiple factors such as a semantic matching degree, an attribute matching degree, user evaluation and a market trend, and outputting a visual chart. According to the method, the building material retrieval accuracy, efficiency and user experience can be improved, and diversified retrieval requirements of professional users in the building industry are met.

The invention discloses a building industry multi-subject collaborative full life cycle carbon emission management system and method, and relates to the technical field of building industry carbon emission management. The system comprises a carbon perception and data collaboration module, a carbon simulation and deduction module, a carbon optimization and collaborative regulation and control module, a carbon accounting and auditing traceability module and a carbon decision and knowledge generation module. Multi-source heterogeneous data is converted into a carbon flow unit with time, space and responsibility subject attributes, data checking, locking and compliance sharing are achieved by means of a multi-subject data collaboration pool, carbon data barriers among all responsibility subjects are broken through, the problems of fragmentization of carbon data collection and lack of collaboration are solved, and the data collection efficiency is improved. And meanwhile, the carbon accounting and audit traceability module completes multi-dimensional accounting based on the carbon flow unit, and establishes a digital carbon chain pointing to an original data source and a responsibility subject, so that full-link traceability of carbon emission data is realized.

The invention discloses a Langchain-based building specification graphical representation multi-modal question answering method and equipment, belongs to the technical field of artificial intelligence and building industry crossing, and is used for solving the problems of difficulty in processing multi-modal information, low query efficiency and the like in building industry specification graphical representation question answering. The method comprises the following steps: constructing a building specification multi-modal database, and carrying out storage management on building specification multi-modal data; based on a user query instruction, retrieving the multi-modal database from different dimensions; generating a structured answer corresponding to the user query instruction according to the retrieval result; and performing image-text consistency verification on the structured answer, and after the verification is passed, outputting the answer corresponding to the user query instruction. According to the method, a complete building specification question answering system is constructed, efficient and accurate building specification multi-mode question answering is achieved, and the building specification query efficiency is improved.

The invention provides a polycarboxylate superplasticizer for UHPC (Ultra High Performance Concrete) and a preparation method thereof, the polycarboxylate superplasticizer for UHPC is prepared from the following components in parts by weight: 60 to 80 parts of polycarboxylate superplasticizer, 50 to 60 parts of viscosity reduction mother liquor, 0.05 to 0.12 part of defoaming agent, 2 to 5 parts of hydration temperature rise inhibitor, 5 to 8 parts of polymer emulsion, 0.01 to 0.05 part of air entraining agent and 100 to 120 parts of water. The polycarboxylate superplasticizer for UHPC is prepared from the specific components including the polycarboxylate superplasticizer, the viscosity reduction mother liquor, the defoaming agent, the hydration temperature rise inhibitor, the polymer emulsion, the air entraining agent and the like according to a certain ratio, has the effects of water reduction, viscosity reduction and shrinkage reduction through compounding, has an ultrahigh water-reducing rate, and can reduce the viscosity among the components of concrete and reduce the shrinkage while the strength of the concrete is not influenced; the comprehensive performance of the UHPC is effectively adjusted, the method is suitable for large-scale popularization and industrial production, remarkable environmental benefits and economic values are shown, and the method has positive significance in promoting sustainable development of the building industry.

The invention discloses a device and a method for testing impermeability of chloride ions in subsea tunnel concrete, belongs to the technical field of building industries, establishes the relationship among the total amount of a sodium chloride solution, the penetration depth of the chloride ions, the permeability coefficient of the chloride ions and the resistivity, and innovatively provides a method for detecting the permeability coefficient of the chloride ions based on the resistivity. And a precise determination model for determining the concrete chloride ion diffusion depth and the chloride ion diffusion coefficient through the resistivity is constructed. The detection device designed by the invention comprises a test piece forming mold, a test piece placement platform, a pressurization permeation module, a resistivity test module, a central control system and a computer output system, and can be suitable for evaluating the chloride ion impermeability of concrete structures serving in environments with different seawater depths and different seawater concentrations. The total amount of the sodium chloride solution, the chloride ion penetration depth and the chloride ion penetration resistance coefficient in the subsea tunnel concrete can be accurately measured, and the device has the advantages of being easy and convenient to operate and high in intelligent degree.

The invention relates to the technical field of concrete 3D printing, in particular to modified alkali-resistant regenerated glass fiber reinforced concrete and a preparation process thereof, and the modified alkali-resistant regenerated glass fiber reinforced concrete is prepared from the following components in parts by weight: 600-650 parts of cement, 90-100 parts of fly ash, 30-35 parts of silica fume, 500-600 parts of river sand, 0.5-6 parts of modified alkali-resistant regenerated glass fibers, 10-15 parts of a water reducing agent and 120-200 parts of water. According to the invention, the regenerated glass fiber obtained by recovering the waste fan blades is used as a reinforcing material of the concrete, so that the resource consumption can be effectively reduced, and the carbon emission is reduced; the invention provides a surface modification method aiming at regenerated glass fibers, so that the long-term durability of the regenerated glass fibers in an alkaline cement matrix is enhanced, the generation of microcracks on a fiber and cement interface is reduced, and the constructability and excellent mechanical properties of the 3D printing concrete are improved. The method not only meets the requirements of digital and intelligent transformation and upgrading of the building industry, but also provides a new method for recycling of waste resources and sustainable development of the building industry, and has relatively high economic and environmental benefits.

The utility model relates to the field of constructional engineering, in particular to an assembly type combined steel trestle structure. According to the technical scheme, the device comprises a trestle beam fixedly arranged in a foundation pit; the trestle box is fixedly laid above the trestle beam; and the antiskid panel is fixed on the surface of the trestle box. The foundation pit trestle has the beneficial effects that by arranging the trestle box assembled through the steel structure, rapid mounting and dismounting of the foundation pit trestle are achieved, input of unrecyclable resources and generation of construction waste are greatly reduced, carbon emission is reduced, and transformation and upgrading of the construction industry are promoted.

The invention relates to the technical field of building materials, and discloses an ardealite-based cementing material and a preparation method thereof, and the ardealite-based cementing material comprises the following component materials: 70-90% of ardealite; 1%-15% of waste slag; 3%-10% of fly ash; 1%-10% of a nano modifier; the ardealite is pretreated, so that the moisture content of the ardealite is less than or equal to 5%, the particle size distribution of the ardealite is adjusted to be 3-5 [mu] m in a D90 range, and the nano modifier comprises but is not limited to a silane coupling agent, graphene oxide nano particles and a composition of the silane coupling agent and the graphene oxide nano particles. The ardealite, the waste slag, the fly ash and other industrial wastes are used as main raw materials, so that efficient resource utilization of solid wastes is realized, the problems of environmental pollution and land occupation caused by solid waste stockpiling are reduced, the requirements of circular economy and sustainable development are responded, and meanwhile, the preparation process of the material is low in energy consumption, less in pollution and suitable for industrial production. And a low-carbon and environment-friendly solution is provided for the building industry.

The invention relates to the technical field of building industry material supply chains, in particular to a material supply chain intelligent recommendation method and system for the building industry, and the method comprises the following steps: a supplier uploads a report on a platform, and the platform generates an archive data packet and synchronizes the archive data packet to a purchase cloud platform; the purchase cloud platform generates industry labels after receiving the data, calculates index scores and builds a table to form a classification index system; a buyer submits a demand, the platform analyzes the demand and then executes a screening mechanism, and suppliers are screened and comprehensively scored to form a scheme list; the buyer evaluates, selects and generates an order, and the platform updates inventory and logistics information. Through a multi-dimensional data processing technology, supplier information is comprehensively recorded, classification indexes are constructed, and accurate screening is achieved; the screening standard is flexibly adjusted by applying a dynamic scoring and hierarchical screening technology; through the grouping and parallel computing technology, the global problem is disassembled, and the computing efficiency is improved; through a comprehensive scoring technology, suppliers are objectively evaluated, the purchasing efficiency is finally improved, and supply chain matching is optimized.

The invention relates to a digital twinning-based component lifting operation safety monitoring and risk management method, belongs to the field of building industry, and aims to solve the problem of safety monitoring in lifting operation of prefabricated components. The method comprises the following steps: collecting real-time data of lifting operation, and establishing a digital twin system; adjusting the weight of at least one type of lifting operation real-time data in the real-time scene according to the influence of the multiple types of lifting operation historical data on lifting operation safety in different scenes; extracting risk feature data corresponding to the abnormal mode; predicting time series data in the lifting operation real-time data after weight adjustment to obtain first prediction data; according to the similarity between the feature data of the first prediction data and the risk feature data, risk early warning is judged; and carrying out risk labeling on the digital twin system. The intelligent safety management level of component lifting operation can be improved, and different lifting operation requirements can be met.

The invention discloses a high-performance hollow brick based on modified gasification slag and a preparation method thereof, and aims to efficiently utilize industrial solid waste, improve the performance of the hollow brick and meet the requirements of the building industry. According to the hollow brick, coal chemical industry by-product gasified slag is used as a main raw material, the gasified slag is modified and then matched with modified coal gangue powder, clay, limestone powder, silica fume and other components, the component proportion and the particle size are strictly controlled, and high strength, light weight and low cost of the product are achieved. In the formula, the particle size of the gasification slag does not exceed 5mm, and the particle size of the modified coal gangue powder does not exceed 100mu m. The preparation method comprises the steps of raw material treatment, mixing molding, low-temperature sintering and the like, and the prepared hollow brick has excellent compressive strength (10-12 MPa), low water absorption (16% or below) and good frost resistance, and meets the requirements of the building industry for light and high-performance hollow bricks. The environment burden of the coal chemical solid waste is remarkably reduced, the production energy consumption is reduced, and the method has wide industrial application potential.

The invention discloses a 500MPa-grade low-cost anti-seismic fire-resistant steel plate and a preparation method thereof, and the steel plate comprises the following chemical components in percentage by weight: 0.02 to 0.10 percent of C, 0.1 to 0.3 percent of Si, 1.2 to 1.6 percent of Mn, less than or equal to 0.01 percent of P, less than or equal to 0.006 percent of S, 0.15 to 0.35 percent of Mo, 0.01 to 0.06 percent of Nb, 0.16 to 0.20 percent of V, 0.040 to 0.045 percent of Ti, 0.0014 to 0.0018 percent of B, 0.002 to 0.003 percent of N and the balance of Fe and inevitable impurities. The preparation method comprises the procedures of blast furnace ironmaking, converter steelmaking, continuous casting and rolling. The low-cost anti-seismic fire-resistant steel plate is manufactured by accurately controlling the content of alloy elements and controlling parameters of rolling and cooling processes, so that the requirements of the building industry on high-performance building materials are met.